Software Engineer III - Resiliency Tech

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorganChase in Jersey City seeks a seasoned Full Stack Software Engineer III to join Corporate Technology. You will collaborate on agile teams to design, build, and deliver trusted market-leading technology products securely and at scale.

You will work across Java, React, and Spring, applying SDLC best practices, integrating AI-assisted development tools, and contributing to architecture, testing, and continuous improvement.

Qualifications

• 3+ years of hands-on software engineering experience
• Experience in system design, app development, testing, and operational stability
• Proficient in Java, React, and Spring
• Experience with enterprise AI-assisted development tools and secure coding practices

Responsibilities

• Execute software solutions, design, and troubleshoot complex problems
• Create secure, high-quality production code and maintain algorithms
• Leverage AI coding assist tools to improve quality and speed with peer review
• Apply SDLC tools to improve automation and value
• Produce architecture/design artifacts and ensure constraints are met
• Gather/analyze data for visualizations to improve software

Skills

Java

React

Spring Framework

CI/CD

Agile methodologies

Secure coding

AI-assisted development tools

Database querying languages

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Full Stack Software Engineer III at JPMorganChase within the Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Hands on Experience in Java, React and Spring framework.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• exposure to AI Assisted development